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Modern DevOps Practices

You're reading from   Modern DevOps Practices Implement, secure, and manage applications on the public cloud by leveraging cutting-edge tools

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805121824
Length 568 pages
Edition 2nd Edition
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Author (1):
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Gaurav Agarwal Gaurav Agarwal
Author Profile Icon Gaurav Agarwal
Gaurav Agarwal
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1:Modern DevOps Fundamentals
2. Chapter 1: The Modern Way of DevOps FREE CHAPTER 3. Chapter 2: Source Code Management with Git and GitOps 4. Chapter 3: Containerization with Docker 5. Chapter 4: Creating and Managing Container Images 6. Part 2:Container Orchestration and Serverless
7. Chapter 5: Container Orchestration with Kubernetes 8. Chapter 6: Managing Advanced Kubernetes Resources 9. Chapter 7: Containers as a Service (CaaS) and Serverless Computing for Containers 10. Part 3:Managing Config and Infrastructure
11. Chapter 8: Infrastructure as Code (IaC) with Terraform 12. Chapter 9: Configuration Management with Ansible 13. Chapter 10: Immutable Infrastructure with Packer 14. Part 4:Delivering Applications with GitOps
15. Chapter 11: Continuous Integration with GitHub Actions and Jenkins 16. Chapter 12: Continuous Deployment/Delivery with Argo CD 17. Chapter 13: Securing and Testing Your CI/CD Pipeline 18. Part 5:Operating Applications in Production
19. Chapter 14: Understanding Key Performance Indicators (KPIs) for Your Production Service 20. Chapter 15: Implementing Traffic Management, Security, and Observability with Istio 21. Index 22. Other Books You May Enjoy Appendix: The Role of AI in DevOps

What is Kubernetes, and why do I need it?

By now, you should understand what containers are and how to build and run containers using Docker. However, how we ran containers using Docker was not optimal from a production standpoint. Let me give you a few considerations to think about:

  • As portable containers can run on any Docker machine just fine, multiple containers also share server resources to optimize resource consumption. Now, think of a microservices application that comprises hundreds of containers. How will you choose what machine to run the containers on? What if you want to dynamically schedule the containers to another machine based on resource consumption?
  • Containers provide horizontal scalability as you can create a copy of the container and use a load balancer in front of a pool of containers. One way of doing this is to decide upfront and deploy the desired number of containers, but that isn’t optimal resource utilization. What if I tell you that you...
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